About
Hi! I am a second-year PhD student in Computer Science at National University of Singapore advised by Yang You, where I also completed my master’s studies. I obtained my bachelor’s degree in CS & EE from Huazhong University of Science and Technology.
Research
My current research mainly focuses on efficient and scalable machine learning through algorithm and infrastructure co-optimization, recently with a primary emphasis on efficient video generation.
I am always happy to chat about interesting research ideas, and looking for academic collaborations and interns. Please drop me an email if you are interested in collaborating with me.
Selected Publications (all)
Efficient Video Generation
Real-Time Video Generation with Pyramid Attention Broadcast
International Conference on Learning Representations (ICLR), 2025
Xuanlei Zhao*, Xiaolong Jin*, Kai Wang*, Yang You
| paper | code | blog |Training Variable Sequences with Data-Centric Parallel
arXiv
Geng Zhang*, Xuanlei Zhao*, Kai Wang†, Yang You†
| code | blog |DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
arXiv
Xuanlei Zhao, Shenggan Cheng, Chang Chen, Zangwei Zheng, Ziming Liu, Zheming Yang, Yang You
| paper | code |
Efficient Memory Cost
AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference
International Conference on Learning Representations (ICLR), 2024
Xuanlei Zhao, Shenggan Cheng, Guangyang Lu, Jiarui Fang, Haotian Zhou, Bin Jia, Ziming Liu, Yang You
| paper | code |HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices
Annual Conference on Machine Learning and Systems (MLSys), 2024
Xuanlei Zhao*, Bin Jia*, Haotian Zhou*, Ziming Liu, Shenggan Cheng, Yang You
| paper |
Efficient AI for Science
- FastFold: Optimizing AlphaFold Training and Inference on GPU Clusters
Annual Symposium on Principles and Practice of Parallel Programming (PPoPP), 2024
Shenggan Cheng, Xuanlei Zhao, Guangyang Lu, Jiarui Fang, Tian Zheng, Ruidong Wu, Xiwen Zhang, Jian Peng, Yang You
| paper | code |
Open-Source Projects
VideoSys: An Easy and Efficient System for Video Generation
Colossal-AI: Making large AI models cheaper, faster and more accessible
Experience
- Colossal-AI
Research Intern
Host: Jiarui Fang, Shenggui Li
Education
- National University of Singapore
Ph.D. in Computer Science
2024.01 - now - National University of Singapore
M.S. in Computer Science
2022.08 - 2023.12 - Huazhong University of Science and Technology
B.S. in Computer Science & Electronic Information
2018.09 - 2022.06